Datagaps is the only company to be listed in Gartner® DataOps Tools & Data Observability market guides

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GDPR Compliance

Datagaps GDPR FAQ

GDPR Compliance
Terms of Service
Privacy Policy

GDPR Compliance

Datagaps is committed to complying with the General Data Protection Regulation (GDPR). We offer a range of features, corporate protocols, and legal documents to help our users and clients adhere to GDPR requirements. Detailed policy can be accessed here. Here are some frequently asked questions. 

1. What data do we collect?

Datagaps collects information that is voluntarily provided by our users who wish to connect with us through the “Request a Demo” page

2. What is DataGaps' privacy policy?

Our privacy policy, which provides comprehensive details on our GDPR compliance, can be accessed here. 

3. Who is responsible for employee data?

Customers of Datagaps who use our services to store employee or candidate information own this data. It is the customer’s responsibility to update or delete this information. Datagaps provides necessary support through our customer service and product features to assist with these tasks. 

4. For how long is the data stored?

Data storage duration depends on the terms of the customer’s contract. By default, we retain data until it is explicitly removed. We offer options for periodic data removal and support data deletion requests via contact@datagaps.com, including an additional grace period if needed.  

5. Who has access to the data?

Access to data is restricted to authorized customer representatives who use Datagaps services to manage and maintain employee data. 

6. Who can delete employee information?

The responsibility for deleting employee information lies with the customer (employer). Datagaps supports customers in managing these tasks but the actual deletion process is executed by the customer. 

7. Can the deleted data be reinstated?

Once data is deleted, it is permanently removed and cannot be reinstated. An exit action retains employee information until actual deletion is completed. 

8. Can I delete, edit, view, or access my personal information?

As a service provider, DataGaps manages data provided by the customer (your employer). Ownership and control of personal data lie with the customer. To request the deletion, updating, or viewing of your data, please contact your employer directly. 

For more detailed information, please refer to our terms of service.  

Awards & Recognition

patented technology

US Patent US 201220290527- Data extraction & testing methods ELV Architecture

Big data campiness award datagaps

Top 100 Most Promising Big Data Companies CIO Review Special Edition

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Datagaps ETL Validator Earned informatica’s
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SOC 2 cerificate

Globally recognized auditing for security integrity, confidentiality and privacy standards
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Data Quality Monitor

Continuously assess, score, and improve your enterprise data quality using rule-based and AI-powered validation
Automated Data Quality Checks at Scale

Validate uniqueness, completeness, domain accuracy, and detect orphan records.

AI-Driven Anomaly Detection and Alerts

Identify data drift and outliers using ML-based statistical methods and IQR-based profiling.

Low-Code Rule Configuration with Data Rule Wizard

Create and deploy validation rules quickly without coding, even across large datasets.

Graphical Scoring and Monitoring Dashboard

Visualize data quality trends across models, tables, and records with actionable insights.

CI/CD and Cloud Integration Ready

Enable continuous validation across pipelines using integrated APIs and DevOps compatibility.

Test Data Manager

Generate high-quality synthetic test data securely while maintaining regulatory compliance with HIPAA, GDPR, and CCPA
AI-Powered Synthetic Test Data Generation

Automatically create realistic data based on patterns in production while masking PII/PHI.

Reduced Cost and Time for Test Data Preparation

Eliminate manual rule-writing and speed up test readiness for complex use cases.

Support for Diverse Data Formats and Models

Generate millions of records in JSON, XML, CSV, relational, or hierarchical formats.

Secure, Policy-Driven Data Masking

Ensure sensitive fields are protected using deterministic, reversible, or random masking.

Flexible Deployment Across Cloud or On-Prem

Deploy within your secure environment and integrate into automated pipelines seamlessly.

ETL Testing

Maximize the efficiency, quality, and reliability of your data pipelines through intelligent automation, validation, and scalability.
100% Data Validation Across Pipelines

Validate billions of records using Spark-powered parallel execution across on-prem and cloud sources.

Accelerated Migration and QA Cycles

Reduce migration testing time by up to 60% and QA costs by 30% with automated workflows.

Automated Metadata and Transformation Testing

Detect schema mismatches and ensure business rules are correctly applied via AI-assisted validation.

Seamless Collaboration and Governance

Enable role-based access, ALM integration, and shareable web reports to unify cross-team efforts.

Low-Code/No-Code Test Creation with AI

Empower both technical and business users to build, schedule, and execute validations using prompt-based automation.

BI Validator

Ensure accuracy, performance, and security of your Business Intelligence dashboards and reports across platforms like Tableau, Power BI, and Oracle Analytics
Automated Regression Testing Across BI Reports

Detect broken visuals or logic changes post-upgrade and data refreshes.

Cross-Platform Validation of Reports and Dashboards

Compare visuals and data across environments and BI tools with zero manual effort.

Performance and Load Testing for BI Assets

Simulate concurrent user access to measure response times and report load failures.

Access and Security Validation

Ensure only authorized groups have access to the correct records and reports.

Aesthetic and Metadata Change Detection

Identify formatting inconsistencies, filter changes, and layout drift with each release.

Products

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DataOps Suite

Intelligent Data Validation and Analytics Testing Platform with Agentic AI.

ETL Validator automated ETL testing tool

ETL Validator

Automated Data Validation and ETL Testing with Agentic AI.

BI Validator automated BI testing tool

BI Validator

Smarter BI Validation For Power BI, Tableau, Oracle Analytics – Accelerated by AI Agents.

Data Quality Monitor software

DQ Monitor

Proactive Data Quality with Agentic AI – Predict, Prevent, Govern.

Test Data Manager software

Test Data Manager

Generate compliant and realistic test data for all your testing needs, enabled by Agentic AI.

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Data Reconciliation

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